Description: kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP <enter> -kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat- Number of patterns (int) SizeVect- Size of vector (int) NClust- Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect]- vector 1 (real) vect[2,1] ... vect[2,SizeVect]- vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real) To compile: ICC KMEANS.CPP <enter> Platform: |
Size: 3072 |
Author:li |
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Description: This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the screen.-This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Platform: |
Size: 270336 |
Author:赵丁香 |
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Description: k-means聚类算法源码。kmeans是一种常用的分割算法，简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient. Platform: |
Size: 1024 |
Author:熊健 |
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Description: 经典的K均值分类算法源码，修正了原作者没有处理当类中样本为0的情况下的bug-classic K-mean classification algorithm source code, that the original author did not address when the category 0 samples of the bug Platform: |
Size: 7168 |
Author:赵真清 |
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Description: This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the screen. Platform: |
Size: 29696 |
Author: |
Hits:
Description: matlab源码关于模糊K均值聚类算法，很好的，适合大家下载研究学习-matlab source code on the fuzzy K-means clustering algorithm, very good for everyone to download research study Platform: |
Size: 1024 |
Author:亨利 |
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Description: 标准C++/C处理BMP图像，没有使用VC中的BITMAP类及任何不在ANSI-C中的结构和函数。采用了k_means压缩算法处理24bit（可以更改源码使之支持8-bit,16-bit和灰度bmp）源码注释详细，其中对BMP文件BMPHEADINFO的处理比较有趣。
new.cpp---->主要的程序代码
*.h----->一个产生U(0,1)随机数的发生器，相合度较小，DES函数产生。-Standard C++/C handle BMP images, do not use the VC in the category and any BITMAP not ANSI-C in the structure and function. K_means compression algorithm used to deal with 24bit (you can change the source code to support the 8-bit ,16-bit and grayscale bmp) detailed source notes, in which the handling of BMP files BMPHEADINFO more interesting. new.cpp----> the main program code*. h-----> generate a U (0,1) random number generator, a smaller degree of consistency, DES Function Generator. Platform: |
Size: 4096 |
Author:Yifan Young |
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Description: 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation Platform: |
Size: 334848 |
Author:zhangyun |
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Description: K-Means动态聚类算法源程序。可以用来发现社团结构。-Dynamic K-Means clustering algorithm source code. The structure can be used to find associations. Platform: |
Size: 251904 |
Author:刘长棕 |
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Description: 这是K-means聚类算法的源代码，可实现任意多统计数据的归类处理。代码为原创，用途主要在数理统计方面，而不是常见的图像处理等方面。内附详细的使用说明。-This is the K-means clustering algorithm source code, enabling the classification of any number of statistical data processing. Code for my original, uses mainly in mathematical statistics, rather than the common image processing and so on. Containing detailed instructions. Platform: |
Size: 5120 |
Author:邹洪斌 |
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Description: k-means C++ 源代码，
修正原来的错误，
增加的新功能
1、用vector实现其存储
2、直接在程序中读取数据集
3、结果可以保存到文件中
4、用户可以输入聚类个数
5、初始聚类中心随机选择(代码自动随机)-k-means C++ source code, fixes the original error, the increase in new features 1, 2, with the vector to achieve its store directly in the program to read data set 3, the results can be saved to a file 4, the user can enter the number of clusters 5, the initial cluster centers randomly selected (code auto-random) Platform: |
Size: 5120 |
Author:烈马 |
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